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Online Monte Carlo Counterfactual Regret Minimization for Search in Imperfect Information Games., , and . AAMAS, page 27-36. ACM, (2015)A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning., , , , , , , and . NIPS, page 4190-4203. (2017)Computing Approximate Nash Equilibria and Robust Best-Responses Using Sampling., , and . J. Artif. Intell. Res., (2011)Memory-Efficient Backpropagation Through Time., , , , and . CoRR, (2016)Learning from Demonstrations for Real World Reinforcement Learning., , , , , , , , , and 2 other author(s). CoRR, (2017)Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions., , , and . NIPS, page 1889-1897. (2012)Monte Carlo Sampling for Regret Minimization in Extensive Games., , , and . NIPS, page 1078-1086. Curran Associates, Inc., (2009)Neural Replicator Dynamics., , , , , , , , and . CoRR, (2019)Symmetric Decomposition of Asymmetric Games., , , , , , , , and . CoRR, (2017)α-Rank: Multi-Agent Evaluation by Evolution., , , , , , , , , and . CoRR, (2019)